Summary
Leo Zhang is a Senior Software Engineer based in New York with six years of experience building ML-infused products and user-centered software. He blends a background in industrial design and UX research with technical expertise from Columbia Engineering to deliver accessible, design-driven solutions—from an iOS audio/haptic navigation app for blind and low-vision users to vehicle-routing optimization using graph neural networks and reinforcement learning. Leo has moved between startups and research labs, shipping MERN-stack MVPs and production-ready systems while contributing to publishable HCI and accessibility research. He currently works at EliseAI, bringing a pragmatic, cross-disciplinary approach that bridges ML research, front-end design, and backend services. Colleagues describe him as a perpetual learner who gravitates toward projects that combine practical impact with elegant interaction design.
6 years of coding experience